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Employing Deep Learning Neural Networks for Characterizing Dual-Porosity Reservoirs Based on Pressure Transient Tests
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The deep learning model constituting two neural network models (i.e., densely connected and long short-term memory) has been applied for automatic characterization of dual-porosity reservoirs with infinite, constant pressure, ...
Experimental Investigation on Hydrodynamics of Two-Phase Crude Oil Flow in Horizontal Pipe With Novel Surfactant
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The hydrodynamic entrance length, pressure drop analysis, viscosity, and fully developed velocity profile in horizontal pipe for crude oil with and without water and surfactant were studied in a 2 in ID horizontal pipe of ...